Quantifying genetic heterogeneity between continental populations for human height and body mass index
Abstract Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify th...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-84739-z |
id |
doaj-57eb2e25461342fd966d50ab4d875472 |
---|---|
record_format |
Article |
spelling |
doaj-57eb2e25461342fd966d50ab4d8754722021-03-11T12:22:13ZengNature Publishing GroupScientific Reports2045-23222021-03-011111910.1038/s41598-021-84739-zQuantifying genetic heterogeneity between continental populations for human height and body mass indexJing Guo0Andrew Bakshi1Ying Wang2Longda Jiang3Loic Yengo4Michael E. Goddard5Peter M. Visscher6Jian Yang7Institute for Molecular Bioscience, The University of QueenslandMonash Partners Comprehensive Cancer Consortium, Monash Biomedicine Discovery Institute Cancer Program, Prostate Cancer Research Group, Department of Anatomy and Developmental Biology, Monash UniversityInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandFaculty of Veterinary and Agricultural Science, University of MelbourneInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandAbstract Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proportion of genetic variation for a complex trait shared between continental populations. We estimated the between-population correlation of genetic effects at all SNPs ( $$r_{g}$$ r g ) or genome-wide significant SNPs ( $$r_{{g\left( {GWS} \right)}}$$ r g GWS ) for height and body mass index (BMI) in samples of European (EUR; $$n = 49,839$$ n = 49 , 839 ) and African (AFR; $$n = 17,426$$ n = 17 , 426 ) ancestry. The $$\hat{r}_{g}$$ r ^ g between EUR and AFR was 0.75 ( $${\text{s}}.{\text{e}}. = 0.035$$ s . e . = 0.035 ) for height and 0.68 ( $${\text{s}}.{\text{e}}. = 0.062$$ s . e . = 0.062 ) for BMI, and the corresponding $$\hat{r}_{{g\left( {GWS} \right)}}$$ r ^ g GWS was 0.82 ( $${\text{s}}.{\text{e}}. = 0.030$$ s . e . = 0.030 ) for height and 0.87 ( $${\text{s}}.{\text{e}}. = 0.064$$ s . e . = 0.064 ) for BMI, suggesting that a large proportion of GWAS findings discovered in Europeans are likely applicable to non-Europeans for height and BMI. There was no evidence that $$\hat{r}_{g}$$ r ^ g differs in SNP groups with different levels of between-population difference in allele frequency or linkage disequilibrium, which, however, can be due to the lack of power.https://doi.org/10.1038/s41598-021-84739-z |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jing Guo Andrew Bakshi Ying Wang Longda Jiang Loic Yengo Michael E. Goddard Peter M. Visscher Jian Yang |
spellingShingle |
Jing Guo Andrew Bakshi Ying Wang Longda Jiang Loic Yengo Michael E. Goddard Peter M. Visscher Jian Yang Quantifying genetic heterogeneity between continental populations for human height and body mass index Scientific Reports |
author_facet |
Jing Guo Andrew Bakshi Ying Wang Longda Jiang Loic Yengo Michael E. Goddard Peter M. Visscher Jian Yang |
author_sort |
Jing Guo |
title |
Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_short |
Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_full |
Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_fullStr |
Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_full_unstemmed |
Quantifying genetic heterogeneity between continental populations for human height and body mass index |
title_sort |
quantifying genetic heterogeneity between continental populations for human height and body mass index |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-03-01 |
description |
Abstract Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proportion of genetic variation for a complex trait shared between continental populations. We estimated the between-population correlation of genetic effects at all SNPs ( $$r_{g}$$ r g ) or genome-wide significant SNPs ( $$r_{{g\left( {GWS} \right)}}$$ r g GWS ) for height and body mass index (BMI) in samples of European (EUR; $$n = 49,839$$ n = 49 , 839 ) and African (AFR; $$n = 17,426$$ n = 17 , 426 ) ancestry. The $$\hat{r}_{g}$$ r ^ g between EUR and AFR was 0.75 ( $${\text{s}}.{\text{e}}. = 0.035$$ s . e . = 0.035 ) for height and 0.68 ( $${\text{s}}.{\text{e}}. = 0.062$$ s . e . = 0.062 ) for BMI, and the corresponding $$\hat{r}_{{g\left( {GWS} \right)}}$$ r ^ g GWS was 0.82 ( $${\text{s}}.{\text{e}}. = 0.030$$ s . e . = 0.030 ) for height and 0.87 ( $${\text{s}}.{\text{e}}. = 0.064$$ s . e . = 0.064 ) for BMI, suggesting that a large proportion of GWAS findings discovered in Europeans are likely applicable to non-Europeans for height and BMI. There was no evidence that $$\hat{r}_{g}$$ r ^ g differs in SNP groups with different levels of between-population difference in allele frequency or linkage disequilibrium, which, however, can be due to the lack of power. |
url |
https://doi.org/10.1038/s41598-021-84739-z |
work_keys_str_mv |
AT jingguo quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT andrewbakshi quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT yingwang quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT longdajiang quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT loicyengo quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT michaelegoddard quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT petermvisscher quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex AT jianyang quantifyinggeneticheterogeneitybetweencontinentalpopulationsforhumanheightandbodymassindex |
_version_ |
1724224356328931328 |